Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Give the y-intercept and slope for the line. $$y=2 x+3$$

Short Answer

Expert verified
Answer: The slope (m) is 2, and the y-intercept (b) is 3.

Step by step solution

01

Identify the Slope-Intercept Form

The given equation is in the form of $$y = mx + b$$, which is the slope-intercept form of a linear equation. In this form, m represents the slope and b represents the y-intercept.
02

Identify the Slope (m)

In the given equation, the slope (m) is the coefficient of x. In this case, the equation is $$y = 2x + 3$$. Thus, the slope (m) is 2.
03

Identify the Y-Intercept (b)

In the given equation, the y-intercept (b) is the constant term. In this case, the equation is $$y = 2x + 3$$. Thus, the y-intercept (b) is 3.
04

Present the Slope and Y-Intercept

After analyzing the given equation, we find that the slope (m) is 2 and the y-intercept (b) is 3.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Linear Equations
Linear equations form the foundation for understanding how variables relate to each other in a straight line. These equations can always be written in the form of \( y = mx + b \), which is known as the slope-intercept form. The simplicity of this form lies in its direct representation of the line's slope \( m \) and y-intercept \( b \), providing a quick way to graph the line and understand its behavior.

Every linear equation represents a straight line when graphed on a coordinate plane. The variable \( y \) represents the dependent variable, while \( x \) is the independent variable. The slope \( m \) indicates how steep the line is, and the y-intercept \( b \) signifies the point where the line crosses the y-axis. Understanding these elements is crucial for solving problems involving linear relationships, whether in algebra or in real-world applications such as calculating rates.
Y-Intercept
The y-intercept is a key characteristic of a linear equation representing where the line crosses the y-axis on a graph. Put simply, it's the value of \( y \) when \( x \) is zero. In the slope-intercept form \( y = mx + b \), the \( b \) directly provides this value.

In the context of a real-world scenario, the y-intercept can represent a starting value or initial condition. For instance, if \( y \) represents the total cost and \( x \) represents the quantity of items purchased, then the y-intercept \( b \) might represent a base fee charged no matter the quantity. Understanding the concept of the y-intercept offers vital insights about where a linear function starts and how it will proceed as the value of \( x \) changes.
Slope of a Line
The slope of a line is a measure of its steepness, often represented by the letter \( m \) in the slope-intercept form of a linear equation, \( y = mx + b \). The slope is a ratio that describes how much the \( y \) value (often referred to as the 'rise') changes for every unit change in the \( x \) value (the 'run').

A positive slope means the line rises as it moves from left to right, a negative slope means it falls, and a slope of zero implies a horizontal line. A vertical line, on the other hand, has an undefined slope. Calculating the slope is straightforward when you have two points on a line, \( (x_1, y_1) \) and \( (x_2, y_2) \), by using the formula \( m = \frac{y_2 - y_1}{x_2 - x_1} \). Knowing how to determine the slope is essential for analyzing trends and making predictions, such as in studying rates of change in economics, sciences, and various fields where data visualization is necessary.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

How does the coefficient of correlation measure the strength of the linear relationship between two variables \(y\) and \(x ?\)

You can monitor every step you take, your speed, your pace, or some other aspect of your daily activity. The data that follows lists the overall rating scores for 14 fitness trackers and their prices. \({ }^{13}\) $$\begin{array}{lcc}\hline \text { Fitness Trackers } & \text { Score } & \text { Price (\$) } \\\\\hline \text { Fitbit Surge } & 87 & 250 \\\\\text { TomTom Spark 3 } & 85 & 250 \\\\\text { Garmin Forerunner 38 } & 85 & 200 \\\\\text { TomTom Spark } & 84 & 200 \\\\\text { Fitbit Charge 2 } & 83 & 150 \\\\\text { Garmin Vivosmart HR } & 83 & 120 \\\\\text { Fitbit Blaze } & 82 & 200 \\\\\text { Huawei Fit } & 82 & 130 \\\\\text { Garmin Vivosmart HR+ } & 79 & 180 \\\\\text { Withings Steel HR } & 79 & 145 \\\\\text { Fitbit Alta } & 78 & 130 \\\\\text { Garmin Vivoactive HR } & 77 & 250 \\\\\text { Samsung Gear Fit 2 } & 76 & 180 \\\\\text { Under Armour Band } & 74 & 80 \\\\\hline\end{array}$$ a. Use a scatterplot of the data to check for a relationship between the rating scores and prices for the fitness trackers. b. Calculate the sample coefficient of correlation \(r\) and interpret its value. c. By what percentage was the sum of squares of deviations reduced by using the least-squares predictor \(\hat{y}=a+b x\) rather than \(\bar{y}\) as a predictor of \(y ?\)

A social skills training program was implemented with seven special needs students in a study to determine whether the program caused improvement in pre/post measures and behavior ratings. For one such test, the pre- and posttest scores for the seven students are given in the table. \(^{15}\) $$\begin{array}{lrr}\hline \text { Subject } & \text { Pretest } & \text { Posttest } \\\\\hline \text { Evan } & 101 & 113 \\\\\text { Riley } & 89 & 89 \\\\\text { Jamie } & 112 & 121 \\\\\text { Charlie } & 105 & 99 \\\\\text { Jordan } & 90 & 104 \\\\\text { Susie } & 91 & 94 \\\\\text { Lori } & 89 & 99 \\\\\hline\end{array}$$ a. What type of correlation, if any, do you expect to see between the pre- and posttest scores? Plot the data. Does the correlation appear to be positive or negative? b. Calculate the correlation coefficient \(r\). Is there a significant positive correlation?

Basics Use the information given in Exercises \(1-2\) (Exercises 1 and 3 , Section 12.2 ) to construct an ANOVA table for a simple linear regression analysis. Use the ANOVA \(F\) -test to test \(H_{0}: \beta=0\) with \(\alpha=.05 .\) Then calculate \(b\) and its standard error: Use a t statistic to test \(H_{0}: \beta=0\) with \(\alpha=.05 .\) Verify that within rounding \(t^{2}=F\). $$ n=8 \text { pairs }(x, y), S_{x x}=4, S_{y y}=20, S_{x y}=8 $$

Professor Asimov Professor Isaac Asimov wrote nearly 500 books during a 40 -year career. In fact, as his career progressed, he became even more productive in terms of the number of books written within a given period of time. \({ }^{3}\) The data give the time in months required to write his books in increments of 100 : $$\begin{array}{l|lllll}\text { Number of Books, } x & 100 & 200 & 300 & 400 & 490 \\\\\hline \text { Time in Months, } y & 237 & 350 & 419 & 465 & 507\end{array}$$ a. Assume that the number of books \(x\) and the time in months \(y\) are linearly related. Find the least-squares line relating \(y\) to \(x\). b. Plot the time as a function of the number of books written using a scatterplot, and graph the leastsquares line on the same paper. Does it seem to provide a good fit to the data points? c. Construct the ANOVA table for the linear regression.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free